TABLE OF CONTENTS
1 Introduction
2 Principle of 3D terrestrial laserscanning
2.1 Generation of a 3D point cloud
2.1.1 Time-based approach
2.1.2 Phase-based approach
2.2 Laser scanner types
2.2.1 Time-based types
2.2.2 Phase-based types
2.3 Examples of laser scanners
2.3.1 Time-based laser scanners
2.3.2 Phase-based laser scanners
3 Accuracy and precision issues
3.1 Accuracy
3.1.1 Laser beam divergence
3.1.2 Scanning resolution
3.2 Precision
3.2.1 Distance error
3.2.2 Angular error
3.3 Survey distance
3.3.1 Reflective properties of rock surfaces
3.3.2 Laser energy, laser beam divergence
3.4 Specifications of laser scanners
3.4.1 Riegl
3.4.2 Leica
3.4.3 Optech
4 Operational issues
4.1 Registration
4.1.1 Absolute registration
4.1.2 Relative registration
4.2 Field-of-View
4.3 Merging of multiple scans
4.4 Occlusion
4.5 Combination with photographic (colour) information
4.5.1 Orthorectification of colour imagery
4.5.2 Colouring of the point cloud data
4.6 Noise in the data
4.6.1 Influence of vegetation
4.6.2 Influence of dynamic disturbances
4.7 Meteorological influences
4.7.1 Haze
4.7.2 Dust
4.7.3 Temperature
4.7.4 Sunlight
5 Applications
5.1 Rapid face mapping and documentation
5.1.1 Rapid face mapping for geological and geotechnical applications
5.1.2 Documentation of slope current stata
5.2 Geometric analyses of slopes and earth bodies
5.2.1 Volume calculations
5.2.2 Monitoring of movement – slope instability/rock fall detection
5.3 Underground (tunnel) survey
5.3.1 Survey of underground space geometry
5.3.2 Detection of discontinuities, loose blocks in wall and roof
5.4 Measurement of discontinuity orientations in exposed rock faces
5.4.1 Surface reconstruction approach
5.4.2 Point cloud segmentation approach
5.5 Open pit mining
5.5.1 3D modeling
5.5.2 Real-time volume monitoring
6 Current developments
6.1 Hardware
6.1.1 Accuracy and precision developments
6.1.2 Integration with other survey instrumentation
6.2 Software
6.2.1 Generic point cloud handling software
6.2.2 Dedicated geotechnical and geoscience software
6.2.3 Integrating photogrammetric information
7 Research directions
8 Conclusions